Title :
Simulation research of location system for fire detecting robot
Author :
Yang, Qingmei ; Sun, Jiammin
Author_Institution :
Coll. of Autom., Beijing Union Univ., Beijing, China
Abstract :
The multi-sensor information fusion has received great attention due to extensive application backgrounds. Information fusion methods are introduced. An autonomous robot used in environmental sensitive regions to detect fire is studied. Its measurement technology is a key to ensure that the robot move autonomously. The integrated measure system of the robot is designed to improving precise and reliable measurement information of the robot. The measurement information is fused with a information fusion algorithm. The measurement system is simulated with Matlab. The results show that the fusion location can improve the precision of measurement system efficiently.
Keywords :
Global Positioning System; Kalman filters; fires; mathematics computing; mobile robots; position control; sensor fusion; Matlab; autonomous robot; fire detecting robot; integrated measure system; location system; multi sensor information fusion; simulation research; Fires; Fuses; Fuzzy neural networks; Fuzzy systems; Global Positioning System; Intelligent sensors; Robot kinematics; Robot sensing systems; Robotics and automation; Sensor fusion; GPS; Information fusion; Kalman filter; Measure system;
Conference_Titel :
Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-4794-7
Electronic_ISBN :
978-1-4244-4795-4
DOI :
10.1109/ICAL.2009.5262603